Myntra provides hassle-free, personalized shopping experiences with Databricks
Indian fashion e-commerce platform Myntra rebuilt its data architecture on Databricks Delta Lake with a medallion architecture to unify batch and streaming processing for real-time ML-driven recommendations, cutting infrastructure costs by 35% and improving real-time pipeline performance by 25%.
Overview
Indian fashion e-commerce platform Myntra rebuilt its data architecture on Databricks Delta Lake with a medallion architecture to unify batch and streaming processing for real-time ML-driven recommendations, cutting infrastructure costs by 35% and improving real-time pipeline performance by 25%.
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Inspect the highlighted sourceThe challenge
Myntra's legacy data warehouse suffered from asynchronous file locking that caused frequent failures and required multiple retries in Spark jobs, leading to duplicate sources of truth, high maintenance costs and an inability to handle growing data volumes at scale.
The solution
Myntra revamped its architecture on the Databricks Data + AI Platform, implementing Delta Lake with a medallion (Bronze/Silver/Gold) architecture and a Kappa-based design that unified batch and streaming processing across compute engines.
Reported business value
The new platform reduced overall data infrastructure costs by 35%, improved real-time pipeline performance by 25%, and delivered faster, more personalized customer recommendations that enhanced engagement and conversion rates for Myntra's 70 million monthly active users.
Sources
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